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Skills/boshu2/agentops/flywheel
flywheel logo

flywheel

boshu2/agentops
828 installs392 stars
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Installation

npx skills add https://github.com/boshu2/agentops --skill flywheel

Summary

Check knowledge flywheel health.

SKILL.md

Flywheel Skill

Monitor the knowledge flywheel health.

The Flywheel Model

Sessions → Transcripts → Forge → Pool → Promote → Knowledge
     ↑                                               │
     └───────────────────────────────────────────────┘
                    Future sessions find it

Velocity = rate of knowledge flowing through. Friction = bottlenecks slowing the flywheel.

Execution Steps

Given /flywheel:

Step 1: Measure Knowledge Pools

# Count top-level artifact files (avoid counting directories)
LEARNINGS=$(find .agents/learnings -maxdepth 1 -type f 2>/dev/null | wc -l)
PATTERNS=$(find .agents/patterns -maxdepth 1 -type f 2>/dev/null | wc -l)
RESEARCH=$(find .agents/research -maxdepth 1 -type f 2>/dev/null | wc -l)
RETROS=$(find .agents/retros -maxdepth 1 -type f 2>/dev/null | wc -l)
echo "Learnings: $LEARNINGS"
echo "Patterns: $PATTERNS"
echo "Research: $RESEARCH"
echo "Retros: $RETROS"

Step 2: Check Recent Activity

# Recent learnings (last 7 days)
find .agents/learnings -maxdepth 1 -type f -mtime -7 2>/dev/null | wc -l
# Recent research
find .agents/research -maxdepth 1 -type f -mtime -7 2>/dev/null | wc -l

Step 3: Detect Staleness

# Old artifacts (> 30 days without modification)
find .agents/ -name "*.md" -mtime +30 2>/dev/null | wc -l

Step 3.5: Check Cache Health

if command -v ao &>/dev/null; then
  # Get citation report (cache metrics)
  CITE_REPORT=$(ao metrics cite-report --json --days 30 2>/dev/null)
  if [ -n "$CITE_REPORT" ]; then
    HIT_RATE=$(echo "$CITE_REPORT" | jq -r '.hit_rate // "unknown"')
    UNCITED=$(echo "$CITE_REPORT" | jq -r '(.uncited_learnings // []) | length')
    STALE_90D=$(echo "$CITE_REPORT" | jq -r '.staleness["90d"] // 0')
    echo "Cache hit rate: $HIT_RATE"
    echo "Uncited learnings: $UNCITED"
    echo "Stale (90d uncited): $STALE_90D"
  fi
else
  # ao-free fallback: compute approximate metrics from files
  echo "Cache health (ao-free fallback):"
  echo "Active learnings (30d): $(find .agents/learnings/ -name '*.md' -mtime -30 2>/dev/null | wc -l | tr -d ' ')"
  echo "Forge candidates pending: $(ls .agents/forge/*.md 2>/dev/null | wc -l | tr -d ' ')"
  if [ -f .agents/ao/citations.jsonl ]; then
    echo "Total citations: $(wc -l < .agents/ao/citations.jsonl | tr -d ' ')"
    echo "Unique learnings cited: $(grep -o '"artifact_path":"[^"]*"' .agents/ao/citations.jsonl 2>/dev/null | sort -u | wc -l | tr -d ' ')"
  else
    echo "No citation data (citations.jsonl not found)"
  fi
  [ -f .agents/ao/outcomes.jsonl ] && echo "Session outcomes recorded: $(wc -l < .agents/ao/outcomes.jsonl | tr -d ' ')"
fi

Step 4: Check ao CLI Status

if command -v ao &>/dev/null; then
  ao metrics flywheel status 2>/dev/null || echo "ao metrics flywheel status unavailable"
  ao status 2>/dev/null || echo "ao status unavailable"
  ao maturity --scan 2>/dev/null || echo "ao maturity unavailable"
  ao anti-patterns 2>/dev/null || echo "ao anti-patterns unavailable"
  ao badge 2>/dev/null || echo "ao badge unavailable"

  # Knowledge maintenance
  ao dedup --merge 2>/dev/null || true
  ao contradict 2>/dev/null || true
  ao constraint review 2>/dev/null || true
  ao curate status 2>/dev/null || true
  ao metrics health 2>/dev/null || true
  ao metrics cite-report --days 30 2>/dev/null || true

  # Active pruning: archive stale, evict low-utility, and curate noisy uncited learnings
  ao maturity --expire --archive 2>/dev/null || true
  ao maturity --evict --archive 2>/dev/null || true
  ao maturity --curate --archive 2>/dev/null || true

  # Retrieval quality: use the representative live corpus when it exists
  if [ -d cli/cmd/ao/testdata/retrieval-bench-live ]; then
    ao retrieval-bench --live --corpus cli/cmd/ao/testdata/retrieval-bench-live --json 2>/dev/null || true
  fi
else
  echo "ao CLI not available — using file-based metrics"
  echo "Pool depths:"
  for pool in learnings patterns forge knowledge research retros; do
    echo "  $pool: $(ls .agents/${pool}/*.md 2>/dev/null | wc -l | tr -d ' ')"
  done
  echo "  global patterns: $(ls ~/.claude/patterns/*.md 2>/dev/null | wc -l | tr -d ' ')"
  echo "See references/promotion-tiers.md for tier definitions"
fi

Step 4.5: Process Metrics (from skill telemetry)

If .agents/ao/skill-telemetry.jsonl exists, use jq to extract: invocations by skill, average cycle time per skill, gate failure rates. Include in health report (Step 6) under ## Process Metrics.

Step 5: Validate Artifact Consistency

Cross-reference validation: scan knowledge artifacts for broken internal references. Use scripts/artifact-consistency.sh (method documented in references/artifact-consistency.md). Default allowlist lives at references/artifact-consistency-allowlist.txt; use --no-allowlist for a full raw audit.

Health indicator: >90% = Healthy, 70-90% = Warning, <70% = Critical.

Step 6: Write Health Report

Write to: .agents/flywheel-status.md

# Knowledge Flywheel Health

**Date:** YYYY-MM-DD

## Pool Depths
| Pool | Count | Recent (7d) |
|------|-------|-------------|
| Learnings | <count> | <count> |
| Patterns | <count> | <count> |
| Research | <count> | <count> |
| Retros | <count> | <count> |

## Velocity (Last 7 Days)
- Sessions with extractions: <count>
- New learnings: <count>
- New patterns: <count>

## Artifact Consistency
- References scanned: <count>
- Broken references: <count>
- Consistency score: <percentage>%
- Status: <Healthy/Warning/Critical>

## Cache Health
- Hit rate: <percentage>%
- Uncited learnings: <count>
- Stale (90d uncited): <count>
- Status: <Healthy/Warning/Critical>

## Retrieval Quality
- Live corpus coverage: <percentage or unavailable>
- Live corpus learnings: <count or unavailable>
- Status: <Healthy/Warning/Critical>

## Health Status
<Healthy/Warning/Critical>

## Friction Points
- <issue 1>
- <issue 2>

## Recommendations
1. <recommendation>
2. <recommendation>

Step 7: Report to User

Tell the user:

  1. Overall flywheel health
  2. Knowledge pool depths
  3. Recent activity
  4. Any friction points
  5. Recommendations

Health Indicators

MetricHealthyWarningCritical
Learnings/week3+1-20
Stale artifacts<20%20-50%>50%
Research/plan ratio>0.50.2-0.5<0.2
Cache hit rate>80%50-80%<50%

Golden Signals

Four golden signals (always shown) reveal whether knowledge is truly compounding or just accumulating noise.

ao flywheel status              # table output with golden signals
ao flywheel status --json       # machine-readable

The Four Signals

#SignalQuestionKey Metric
1Velocity TrendIs σρ-δ increasing?Linear regression slope of baseline velocities (7d/30d)
2Citation PipelineAre citations useful?% of feedback with reward > 0.6
3Research ClosureIs research being mined?% orphaned research (no learning backlink)
4Reuse ConcentrationIs the whole pool active?Gini coefficient of citation distribution

Verdicts and Thresholds

SignalHealthyWarningCritical
Velocity Trendcompounding (slope > +0.01)stagnantdecaying (slope < -0.01)
Citation Pipelinereinforcing (>60% high-util)inert (30-60%)degrading (<30%)
Research Closuremining (<=10% orphans)—hoarding (>=10% orphans)
Reuse Concentrationdistributed (Gini<0.4, active>30%)concentrateddormant (Gini>0.7 or active<10%)

Overall verdict: 3+ healthy = compounding, 3+ critical = decaying, mixed = accumulating.

Recommended Actions

VerdictAction
decayingRun /compile cycle, archive stale artifacts, increase citation via ao lookup
accumulatingReview orphaned research (/research→/post-mortem --quick pipeline), improve forge quality
compoundingMaintain cadence. Consider capturing baselines (ao metrics baseline) for trend tracking

Cache Eviction

Read references/cache-eviction.md for the full eviction pipeline (passive tracking → confidence decay → maturity scan → archive).

Hub Budget & Phase 4 Hardening

Phase 4 (soc-ytpq) governance for ~/.agents/learnings/ — all advisory, none block by default. Full details in references/hub-budget.md.

  • Size budget: target ≤ 250 MB / ≤ 5,000 files. Restore via ao maturity --evict --target-size=250M (lowest-utility-first; respects lifecycle.IsEvictionEligible so canonical / high-confidence files are protected).
  • Volume gate: ao harvest WARNs when promotions exceed --max-promotions=N (default 500; AO_MAX_PROMOTIONS=N env as fallback; ≤0 disables). WARN-only — the 2,638-promotion soc-ujls drain proves a hard gate would falsely block legitimate runs.
  • Provenance: every promoted file carries source_rig: in its frontmatter (empty writers serialize as source_rig: unknown). Both harvest.Promote and pool.(*Pool).Promote content-dedup against the same hub via ~/.agents/pool/promoted-index.jsonl.
  • Re-bloat triage: check SkipGlobalHub defaults to true (the agentops-b3v / soc-ujls fix), then grep -h '^source_rig:' ~/.agents/learnings/*.md | sort | uniq -c | sort -rn to identify the regressed writer. Use --target-size, never raw rm.

Key Rules

  • Monitor regularly - flywheel needs attention; address bottlenecks early
  • Feed the flywheel - run /post-mortem (or /post-mortem --quick)
  • Prune stale knowledge - archive old artifacts

Examples

User says: /flywheel — Counts pool depths, checks recent activity, validates artifact consistency, writes health report to .agents/flywheel-status.md. Hook trigger: After /post-mortem — Compares current vs historical metrics, flags velocity drops and friction points.

Troubleshooting

ProblemCauseSolution
All pool counts zero.agents/ directory missing or emptyRun /post-mortem (or --quick) to seed knowledge pools
Velocity always zeroNo recent extractions (last 7 days)Run /post-mortem (or --quick) to extract and index learnings
"ao CLI not available"ao command not installed or not in PATHInstall ao CLI or use manual pool counting fallback
Stale artifacts >50%Long time since last session or inactive repoRun /provenance --stale to audit and archive old artifacts

Reference Documents

  • references/artifact-consistency.md
  • references/promotion-tiers.md
  • references/hub-budget.md
  • references/cache-eviction.md
  • references/flywheel-cli.feature — Executable spec: ao flywheel CLI command behavior, linked to cmd tests (soc-jnfgi)

Score

0–100
55/ 100

Grade

C

Popularity15/30

828 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Flywheel skill score badge previewScore badge

Markdown

[![Flywheel skill](https://www.claudemarket.ai/skills/boshu2/agentops/flywheel/badges/score.svg)](https://www.claudemarket.ai/skills/boshu2/agentops/flywheel)

HTML

<a href="https://www.claudemarket.ai/skills/boshu2/agentops/flywheel"><img src="https://www.claudemarket.ai/skills/boshu2/agentops/flywheel/badges/score.svg" alt="Flywheel skill"/></a>

Flywheel FAQ

How do I install the Flywheel skill?

Run “npx skills add https://github.com/boshu2/agentops --skill flywheel” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Flywheel skill do?

Check knowledge flywheel health. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Flywheel skill free?

Yes. Flywheel is a free, open-source skill published from boshu2/agentops. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Flywheel work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Flywheel works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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